115 molecular-modeling-or-molecular-dynamic-simulation positions at University of Nottingham
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manipulation in ovarian cancer cell lines. Small molecular inhibitor studies and molecular biological investigations will complement gene manipulation studies. The Clinical Research Fellowship will be suitable
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, genes, and pathways involved in sensing water in the model plant Arabidopsis. Building on our previous work (Mehra et al., Science, 2022), we aim to understand how hormone-driven pathways help roots
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. Small molecular inhibitor studies and molecular biological investigations will complement gene manipulation studies. The Clinical Research Fellowship will be suitable for a current specialty trainee in
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modelling. The aim of the work is to develop in vitro models of rare lung diseases which are suitable for high-throughput drug screening by our collaborators. The Rare Respiratory Disease Centre is a
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utilize preclinical tumour models, high dimensional techniques including spatial mass spectrometry and immunocytochemistry, alongside complementary state-of-the-art molecular biology approaches to identify
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discoveries (Mehra et al., Science, 2022), this project aims to identify novel genes and regulatory pathways involved in sensing water availability in the model plant Arabidopsis thaliana. We are particularly
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-economic assessment and life cycle analysis methodologies. • Proficiency with modelling and simulation software relevant to TEA and LCA. • High analytical ability to analyse and illuminate data
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infection and transmission rely on the molecular interactions that take place at this interface. These interactions are, in turn, encoded in the specialised organisation of the trypanosome genome. The post
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position is ideally suited to candidates with a strong interest in root adaptations and molecular cell biology. Applicants must be highly motivated and self-driven, with a PhD in molecular biology or a
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-economic analysis and life cycle assessment methodologies. • Proficiency with modelling and simulation software relevant to TEA and LCA. • High analytical ability to analyse and illuminate data